Data is gathered to examine the relationship between the length of the left middle finger (measured in centimeters) and height (measured in inches) for a random sample of adults. This data is presented in the accompanying scatterplot. To predict height based on left middle finger length, the following regression equation is constructed: Predicted height = 24.43 + 3.54 (finger length). The correlation between height and left middle finger length is r = 0.76. Based on this information, which one of the following statements is correct?
A. Approximately 76% of the variability in height can be explained by the regression equation.
B. An adult with a left middle finger length of 11.5 centimeters is predicted to have a height of 63.24 inches.
C. It would be extrapolation to use the regression equation to predict the height of an adult with a left middle finger that is 8 cm long.
D. As left middle finger length increases by 1 centimeter, we predict height to increase by 24.43 inches.
E. As height increases by 1 inch, we predict length of the left middle finger to increase by 3.54 centimeters.